julie a. schneider md ms professor, departments of pathology and neurological sciences associate...

Julie A. Schneider MD MS

Professor, Departments of Pathology and Neurological Sciences

Associate Director, Neuropathology Core Leader, Rush Alzheimer’s Disease Center

Rush University Medical Center

Pathology of Cognitive Decline and Dementiain Aging and Alzheimer’s Disease

Acknowledgements

• Funded in part by Grant R13 AG030995 from the National Institute on Aging

• The views expressed in written conference materials or publications and by speakers and moderators do not necessarily reflect the official policies of the Department of Health and Human Services; nor does mention by trade names, commercial practices, or organizations imply endorsement by the U.S. Government.

Disclosures

Scientific advisory boards– Eli Lilly Inc– Avid radiopharmaceuticals– Genentech USA, Inc.,

Consultant – Avid radiopharmaceuticals– Navidea biopharmaceutcals

Pathologic basis of cognitive decline in aging

• Alzheimer’s pathology and concept of neural reserve - threshold of path to exhibit sxs

• Spectrum of pathologies and mixed pathologies in aging (AD plus)– Degenerative and Vascular pathologies

• Macroinfarcts, large vessel atherosclerosis• SVD - microinfarcts, arteriolosclerosis, CAA• Lewy bodies, hippocampal sclerosis, TDP43

• Overlap of clinical phenotypes and the dx AD dementia

• Implications for risk factors , public health, clinical trials

The Religious Orders Study

• Began in 1993• Enrolls older persons without dementia, annual F/U

• Older nuns, priests, and brothers without known dementia from across the U.S.

• All agreed to annual cognitive and motor testing, including a modified UPDRS

• All agreed to brain donation at the time of death• ~

– >90% follow-up rates– About 94% autopsy rate > 600 autopsies

Religious Orders Study: Participating Sites

The Rush Memory and Aging Project … because memories should last a lifetime

• Community based study with similar methodologies but lay population more reflective of general population - began in 1997

• Residents from about 40 retirement communities and senior housing from across the Chicago area

• All agreed to annual cognitive/motor testing, blood draws

• All agreed to donate brain, spinal cord, muscle, nerve at the time of death

F/U rates over 90%

• Autopsy Rates 80%• >600 autopsies

• Overall over 3060 enrolled/1429 died/1232 autopsies

• Annual visits: Interviews, Scales for depression, diet, decision making etc., Medical histories, Neurologic Exams, Neuropsych testing

• Clinical testing for cognitionEpisodic Memory: immediate and delayed recall Story A, WMS-R; immediate and delayed recall East Boston Story; Word List Memory, Recall and RecognitionSemantic Memory: Verbal Fluency; Boston Naming; Vocabulary Test; National Adult Reading TestWorking Memory: Digit Span forward/backward; Digit Ordering; Alpha SpanPerceptual Speed: Symbol Digit Modalities Test; Number ComparisonVisuospatial Ability: Line Orientation; Progressive Matrices

Z-scored and grouped to form a 5 domains measures and a measure of overall cognitive function (global cognitive score)

Clinical diagnoses

• Annually, neuropsychologist reviews neuropsychological test results and gives impression regarding level of impairment;

• And expert Clinician makes diagnostic classification of dementia and AD, according to current criteria

• At death, a board-certified neurologist reviews all years of clinical data, blinded to postmortem data, and renders most likely clinical diagnosis proximate to death (ave.interval about 6 months)

Brain autopsies and AD Neuropathology• One Hemisphere cut into 1 cm slabs using Plexiglas jig; paraformaldehyde-

fixed/paraffin-embedded/6 or 20 μm sections

• Multiple variables for dx, stage and burden of of AD pathology –

• For dx use silver stains; frontal, temporal, parietal, entorhinal, and hippo cx –NFT and NP counted and now Thal amyloid stage.

• Modified NIA– Reagan criteria; path dx of AD if intermed or high “likelihood” AD (blind to age, clinical dx); at least moderate neocortical neuritic plaques (CERAP NP score) and at least Braak III/IV

• New NIA-AA path dx in over 300 – excellent agreement with NIA-Reagan - includes CERAD NP score, Braak, and Thal amyloid stage.

• Summary measure of AD pathology using NP, DP, NFT counts from 5 regions and converting into standardized score

• Amyloid load and tau tangle densities via immunohistochemistry also performed in 8 regions across

AD pathology – heterogeneity and neural reserve.

Path criteria shows excellent agreement with clinical dx of AD and AD pathology (NP and NFT) is moderately to strongly related to cognition/dementia;

Inter-individual variation in the expression of AD pathology

“Normal” Aging• AD pathology very common ; ~ 1/3 brain sufficient path for path dx of AD

• More subjective memory complaints and/or lower episodic memory than persons without the path diagnosis of AD

Mild Cognitive Impairment• AD pathology is intermediate between normals and demented

• About ½ with sufficient pathology for a dx of AD but heterogenous group.

Neural ReserveAbout 1/3 of older persons have sufficient AD path in brain to fulfill criteria for pathologic dx of AD

• Those factors related to “reserve”– Education and Cognitive activities– Social, physical activity– Depression/Well-being/purpose in life– Diet– Genetic factors

– Other age-related pathologies in the brain

Pathologies that coexist with Alzheimer’s disease pathology

Data from Rush Memory and Aging Project and Religious Orders Study - over 1100 community-dwelling older persons followed prospectively with high f/u, autopsy rates, cognitive function annually and proximate to death.

Pathologies in addition to AD in older persons

• Vascular (5)– gross infarcts– Microinfarcts– Atherosclerosis– Arteriolosclerosis– Cerebral amyloid angiopathy

• Neurodegenerative (3)– Lewy bodies– Hippocampal sclerosis– TDP-43

Frequency of different pathologies for dementia in older persons

1. Alzheimer’s disease

2. Vascular

3. TDP-43 pathology

4. Lewy body

5. Hippocampal sclerosis

Mixed pathology in community-dwelling older subjects with dementia is more common than a single pathology

• 141 autopsies from the Memory and Aging Project – 91 no dementia; 50 dementia

• Over 80% of cohort had chronic brain abn.

• Mixed pathologies more common than single in dementia

• Dementia; AD alone (n=15; 30%); AD + other path (n=25;50%)– AD + Cerebral infarcts (n=21) (42%)

Rush Memory and Aging ProjectSchneider JA et al. Neurology 2004;62:1148-1156.

Mixed brain pathologies in dementia – common in dementia

Mixed brain pathologies in probable AD and MCI

• - 483 autopsied participants from the Religious Orders Study and the Rush Memory and Aging Project – probable AD, – MCI (amnestic and nonamnestic)– No cognitive impairment.

– Excluded 41 persons with clinically possible AD and 14 with other dementias.

– We documented the neuropathology of AD (National Institute on Aging-Reagan criteria), macroscopic cerebral infarcts, and neocortical Lewy body (LB) disease.

• 179 persons (average age, 86.9 years) with probable AD– 87.7% had pathologically confirmed AD– 45.8% had mixed pathologies,

• most commonly AD with macroscopic infarcts (n = 54)• followed by AD with neocortical LB disease (n = 19) • and both (n = 8).

Mixed brain pathologies common in MCI and probable AD

Schneider JA et al. Ann Neurol 2009;66:200–208.

* Estimates do not include vascular path other than gross infarcts

** Estimates do not include milder amounts of AD pathology

Macroscopic infarcts increase odds dementia at each level of AD pathologyWorsens cognition/lowers threshold for dementia

Schneider JA et al. Neurology 2004;62:1148-1156.

Common – yes but are they bad for you??? YES!

Cerebral infarcts affect Memory after controlling for AD path

Schneider JA et al. Neurology 2004;62:1148-1156.

Tip of the iceberg….in vascular brain pathology

• Microinfarcts

• Large vessel disease (Atherosclerosis)

• “Small vessel disease”– Arteriolosclerosis, – cerebral amyloid angiopathy– Atherosclerosis (small vessels)

– White matter changes (partially)

More vascular pathology than just gross infarcts..

• Chronic macroscopic infarcts - slabs inspected for infarcts and other pathology; all suspected infarcts microscopically confirmed. Blocks are 1cm thick so can missed because within slab or not visibile

• Microscopic infarcts – examination of 6-7 cortical regions, 2 subcortical and 1 brainstem (number is skewed; often analyze as 2 or 3 level)

• Lipohyalinosis/arteriolosclerosis – amorphous hyalinized thickening of arterioles; semiquant. none -severe). Semiquantiative (0-6)

• Amyloid angiopathy –anti-amyloid-β; semiquant scores (0-4) are averaged into continuous measure; also have mild, moderate, severe

• Atherosclerosis – judged at circle of willis; semiquant scale (0-6)

Microscopic infarcts – “invisible lesions”

• Infarcts that are too small to be seen by the naked eye on gross examination of the brain

Smith E. et al. The invisible lesions. Lancet Neurology 2012

Pathology Nomenclature (differs from neuroimaging)

1mm 2 mm

May be seen grossly

Microscopic infarctsSmallest diameter about 100um microns 3 mm >3 mm

GROSS INFARCTS

Not seen grossly

Arvanitakis Z et al. Stroke 2011,42:722-727

Arvanitakis Z et al. Stroke 2011,42:722-727

Not only common but bad for you!

How about Vessel pathology?

Number of subjects 1, 125DEMOGRAPHICAge at death, years (SD) 88.2 (6.7)Female, n (%) 727 (65%)

NEUROPATHOLOGIC

Gross infarct present, n (%) 396 (35%) Cortical, n (%) 139 (12%) Subcortical, n (%) 314 (28%)

Microinfarct present, n (%) 322 (29%) Cortical, n (%) 181 (16%) Subcortical, n (%) 175 (16%)

Any chronic infarct present, n (%) 545 (48%)

Vessel pathology**Atherosclerosis, n (%) 452 (41%)Arteriosclerosis, n (%) 400 (36%)

NoneS

LS L

Vessel Disease

Vessel Disease, with Infarctions

Cross hatches are infarctions

No Vessel disease

S

LSL

Vascular brain injury/vessel diseaseand Dementia

Odds of Dementia (Single model - logistic regression accounting for

age, sex, edu, AD & LB pathology)

– Macroscopic 1.60 (1.13- 2.27) p=0.008

– Microscopic 1.44 (1.01-2.06) p=0.04

– Arteriolosclerosis 1.19 (1.00-1.40) p=0.04

– Atherosclerosis 1.24 (1.01-1.53) p=0.04

Likelihood of clinical diagnosis of Alzheimer’s disease

• Logistic regression controlling for age, sex, education, AD path, Lewy bodies, macro and micro infarcts. Vessel disease is ordinal, 4 levels.

• Macroscopic infarcts OR = 1.6 (p=0.005)• Microinfarcts OR = 1.4 (p=0.04)

• Atherosclerosis OR= 1.3 (p=.02)• Arteriolosclerosis OR= 1.3 (p=0.038)

• Cerebral Amyloid Angiopathy, n (%) 379 (35%)

Boyle et al. Cerebral amyloid angiopathy and cognitive outcomes. Neurology 2015. in press.

CAADEMENTIA

AND

COGNITIVE DECLINE

Episodic Memory

beta (SE), p

Perceptual Speed

beta (SE), p

Visuospatial abilities

beta (SE), p

Working Memory

beta (SE), p

Semantic Memory

beta (SE), p

Age at death -.0008 (.0007), 0.290 .0008 (.0007), 0.264 .0007 (.0006), 0.195 -.0002 (.0006), 0.772 .0002 (.0008), 0.837

Male Sex 0.015 (0.010), 0.132 0.018 (0.010), 0.053 0.016 (0.008), 0.033 0.001 (0.008), 0.862 -0.003 (0.011), 0.760

Education 0.0006 (0.001), 0.635 0.001 (0.001), 0.244 -0.00007 (0.001), 0.982 0.001 (0.001), 0.155 0.0006 (0.001), 0.656

AD -0.115 (0.010), <.0001 -0.076 (0.010), <.0001 -0.050 (0.008), <.0001 -0.072 (0.008), <.0001 -0.117 (0.011), .0001

Macroscopic infarcts

-0.026 (0.006), <.0001 -0.018 (0.006), 0.002 -0.016 (0.005), 0.001 -0.023 (0.005), <.0001 -0.016 (0.007), 0.016

Microinfarcts -0.001 (0.007), 0.944 -0.008 (0.007), 0.247 -0.001 (0.005), 0.792 -0.003 (0.005), 0.629 -0.007 (0.008), 0.343

Lewy Bodies -0.037 (0.011), 0.0005 -0.051 (0.010), <.0001 -0.027 (0.008), 0.001 -0.029 (0.008), 0.0005 -0.053 (0.012), <.0001

CAA -0.014 (0.004), 0.001

-0.011 (0.004), 0.014

-0.006 (0.004),

0.105-0.007 (0.004),

0.062-0.022 (0.005),

<.0001

Association of CAA with decline in 5 specific cognitive systems

Arvanitakis Z et al. Ann Neurol 2011;69(2):320-327

Role for other pathologies in cognitive impairment in aging

• Lewy bodies - Neocortical Lewy bodies increase odds of dementia and effect all cognitive domains

• TDP-43 – very common proteinopathy associated with aging, lowers episodic memory, MCI, and increases odds of dementia.

• Hippocampal sclerosis - very common in the oldest old and increases odds of MCI and dementia

• Mesial temporal lobe NFT and memory in late life – PART (primary age related tauopathy)

ProbabilityOfClinical DiagnosisOf AD

Add the effect of Lewy bodies and Hippocampal sclerosis….

Number of mixed pathologies in persons with pathologic diagnosis of AD - over half have 3 or more

Neurodegenerative (yellow) and vascular (pink) or both (black) pathologies in persons with pathologic diagnosis of AD - over half have both ND and vascular

JAMA Neurol. 2013 Nov 1;70(11):1418-24.

Effect similar to that of tangles in mixed effect models on decline

TDP-43 and aging

~ 50% of cohort (amygdala, Hippocampus/entorhinal cortex, midtemp and frontal)

Related to AD path and HS dx but also seen in those without AD or HS path dx.

Independently related to loss of episodic memory and increases odds of clinical AD

Other special populations and cohort characteristics

Barnes LL et al. Neurology 2015 in press.

Characteristic Total

(n=804)

Age 65-89

(n=503)

Age 90 +

(n = 301)

P value

Age at death, yrs(SD) 87.7 (6.7) 83.8 (4.8) 94.3 (3.3) <0.001

Female, no. (%) 508 (63.2%) 290 (57.7%) 218 (72.4%) <0.001

Education, years (SD) 16.5 (3.7) 16.7 (3.8) 16.2 (3.4) 0.05

Dementiaa, no. (%) 304 (37.8%) 143 (28.4%) 161 (53.5%) <0.001

ADc 493 (61.3%) 279 (55.5%) 214 (71.1%) < 0.001

Infarctsd 272 (33.8%) 147 (29.2%) 125 (41.5%) < 0.001

Single pathologies 374 (46.5%) 238 (47.3%) 136 (45.2%) 0.56

AD (no infarcts/LB) 271 (33.7%) 167 (33.2%) 104 (34.6%) 0.70

Infarcts (no AD/LB) 88 (11.0%) 59 (11.7%) 29 (9.6%) 0.36

Mixed pathologies 225 (28.0%) 113 (22.5%) 112 (37.2%) <0.001

AD + LB 41 (5.1%) 25 (5.0%) 16 (5.3%) 0.83

AD + Infarcts 162 (20.2% 79 (15.7%) 83 (27.6%) <0.001

AD + LB + Infarct 19 (2.4%) 8 (1.6%) 11 (3.7%) 0.06

Pathology and dementia in the oldest old (age 90+ vs. <90)

James BD et al., JAMA. 2012 May 2;307(17):1798-800.

Implications

1. Public health: vascular health likely to be extraordinarily important in the prevention of dementia, eg. life style, BP, blood glucose, likely large impact on primary prevention of clinical AD; data from the oldest-old

2. Epidemiologic studies: One should be cautious making inferences – can not assume that risk factors for clinical AD are risks factors for AD pathology

3. Clinical trials: implementation / interpretation

• Diabetes (any diagnosis during study period)• Shown to increase risk of AD in the Religious Orders Study • Dx of diabetes increased odds of gross infarcts– 2.6 - fold

increase in odds of gross (p=0.0002)– 2- fold increase odds of subcortical micro (p=0.006)– 60% increase of each level of lipohyalinosis (p = 0.007)

• High Blood pressure • Dx of hypertension – (38.3%)• Direct measures of systolic and diastolic blood pressures• Increase odds of infarcts, controlling for age, sex, education

– Ave systolic not diastolic BP increased odds of infarcts» Per 10 mmHg increase – 15% increase odds of gross (p=0.01)» Per 10 mmHg increase - 18% increase odds of micro (p=0.04)

NEITHER DIABETES OR BLOOD PRESSURE RELATED TO PLAQUES OR TANGLES…

• Implications for Clinical and Prevention trials in the community: power, timing, and targets/biomarkers

1. Power

• AD is only one among multiple pathologies that is related to the trajectory of decline in older persons

• In clinical trials will need greater numbers (increased power) to see effect from an agent targeting just one of the myriad of pathologies that is related to decline…

• Current Biomarkers helpful but not sufficient - to change problem of many of the mixed pathologies…

Power

Boyle PA, et al., Ann Neurol. 2013 Sep;74(3):478-89.

2. Timing

• As everyone knows going earlier in disease, when amyloid and/or tangles may not have reached critical threshold, is likely important…

– However, using change point modelling, data suggests that trajectory of decline in this early time period is much less steep (pre-terminal decline)

– And depending on the cohort characteristics (too healthy) the change point may be late…

1. Preterminal slope shallow

2. Change ptearly with mixed pathologies

3. Infarcts appear to effect change point (earlier) but not slope

4. Lewy bodies effect change point and slope of change

Boyle PA, et al., Ann Neurol. 2013 Sep;74(3):478-89.

Timing– Targeting early disease when slope of decline is less steep

again may need more power to see effect

– **Suggest need to target those individuals close to the change point; eg. target at risk individuals

eg. apoE , subjective memory complaints

Need to be aware that mixed pathologies lead to earlier change point (vascular/Lewy bodies) and may effect slope (Lewy bodies)

Targets

• Alzheimer’s disease pathology is just one of a myriad of pathologies involved in decline in persons with “clinical AD”

• Consider targeting known non-AD pathologies and drug discovery for other up or down stream targets…

Boyle PA, Wilson RS, Yu L, Barr AM, Honer WG, Schneider JA, Bennett DA. Ann Neurol. 2013 Sep;74(3):478-89.

TARGETS

Does not include atherosclerosis, arteriolosclerosis, CAA, TDP, HS…

Conclusions• Mixed pathologies very common in Clinical AD (dementia overall).• Neurodegenerative and vascular, often multiple• Add to likelihood of dementia, clinical AD, trajectory/pattern of

cognitive decline

• Implications for Clinical/Prevention Trials:– Power – mixed pathologies explain a lot of decline so when

targeting individual path need increased power to see effect

– Timing - in preclinical state need to target at risk individuals if using cognition as outcome otherwise trajectory of change may be too shallow BUT mixed pathologies confound…

– Targets - expand drug targets to nonAD and common mechanisms

Acknowledgments• Rush Alzheimer’s Disease Center

• Neelum Aggarwal, MD• Konstantinos Arfanakis, PhD• Zoe Arvanitakis, MD, MS• Lisa Barnes, PhD• David Bennett ,MD• Patricia Boyle, PhD• Aron Buchman, MD• Robert Dawe, PhD• Debra Fleischman, PhD• Bryan James, PhD• Sue Leurgans, PhD• Sukriti Nag, MD, PhD• Rita Shapiro, DO• Raj Shah, MD• Lei Yu, PhD• Robert Wilson, PhD

• Rush Alzheimer’s Disease Center Staff

• National Institute on Aging

• Alzheimer’s Association• Illinois Department Public

Health• Elsie Heller Brain Bank

Endowment Fund• Robert C. Borwell

Endowment Fund

• Study Participants• Religious Orders Study• Rush Memory and Aging

Project